id int64 | number int64 | title string | state string | created_at timestamp[s] | updated_at timestamp[s] | closed_at timestamp[s] | html_url string | is_pull_request bool | pull_request_url string | pull_request_html_url string | user_login string | comments_count int64 | body string | labels list | reactions_plus1 int64 | reactions_minus1 int64 | reactions_laugh int64 | reactions_hooray int64 | reactions_confused int64 | reactions_heart int64 | reactions_rocket int64 | reactions_eyes int64 | comments list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3,305,531,502 | 62,079 | DOC: Add docstring for asarray_tuplesafe in common.py | open | 2025-08-09T01:22:19 | 2025-08-21T20:39:25 | null | https://github.com/pandas-dev/pandas/pull/62079 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62079 | https://github.com/pandas-dev/pandas/pull/62079 | eduardocamacho10 | 0 | - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/con... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,305,507,357 | 62,078 | DOC: Validate docstrings for tseries.offsets.BusinessDay | open | 2025-08-09T00:50:28 | 2025-08-09T00:50:29 | null | https://github.com/pandas-dev/pandas/pull/62078 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62078 | https://github.com/pandas-dev/pandas/pull/62078 | doughillyer | 0 | - [x] closes #58063 (partially)
- [ ] Tests added and passed if fixing a bug or adding a new feature
- [x] All code checks passed.
- [ ] Added type annotations to new arguments/methods/functions.
- [ ] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.
---... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,305,401,725 | 62,077 | BUG: Bug fix for implicit upcast to float64 for large series (more than 1000000 rows) | open | 2025-08-08T23:00:07 | 2025-08-08T23:06:55 | null | https://github.com/pandas-dev/pandas/pull/62077 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62077 | https://github.com/pandas-dev/pandas/pull/62077 | allecole | 1 | ## PR Requirements
- [x] closes #61951
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"pre-commit.ci autofix"
] |
3,304,976,846 | 62,076 | BUG: Fix tz_localize(None) with Arrow timestamp | closed | 2025-08-08T19:10:09 | 2025-08-21T11:16:25 | 2025-08-11T16:29:28 | https://github.com/pandas-dev/pandas/pull/62076 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62076 | https://github.com/pandas-dev/pandas/pull/62076 | yuanx749 | 2 | - [x] closes #61780
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [x]... | [
"Timezones",
"Arrow"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @yuanx749 ",
"Disappointed to see this wasn't in the 2.3.2 release.\r\n\r\nThis bug is a ***silent data corruption bug*** so IMO should be released ASAP."
] |
3,304,867,341 | 62,075 | DOC: Fix docstring validation errors for pandas.util.hash_pandas_object | open | 2025-08-08T18:21:03 | 2025-08-17T16:06:22 | null | https://github.com/pandas-dev/pandas/pull/62075 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62075 | https://github.com/pandas-dev/pandas/pull/62075 | EliotGreenhalgh123 | 0 | - [ ] partially addresses #58063.
- [X] Passed python scripts/validate_docstrings.py pandas.util.hash_pandas_object (No changes to code, no additional tests)
- [X] All [code checks passed]
- [ ] Added [type annotations] NA: no new arguments/methods/functions.
- [ ] Added an entry in the latest `doc/source/whatsnew/... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,304,386,279 | 62,074 | BUG(CoW): also raise for chained assignment for .at / .iat | closed | 2025-08-08T15:12:18 | 2025-08-15T08:31:48 | 2025-08-08T16:42:48 | https://github.com/pandas-dev/pandas/pull/62074 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62074 | https://github.com/pandas-dev/pandas/pull/62074 | jorisvandenbossche | 3 | Noticed while working on https://github.com/pandas-dev/pandas/issues/61368. I assume this was an oversight in the original PR https://github.com/pandas-dev/pandas/pull/49467 adding those checks. Also added some more explicit tests for all of loc/iloc/at/iat | [
"Copy / view semantics"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @jorisvandenbossche ",
"Owee, I'm MrMeeseeks, Look at me.\n\nThere seem to be a conflict, please backport manually. Here are approximate instructions:\n\n1. Checkout backport branch and update it.\n\n```\ngit checkout 2.3.x\ngit pull\n```\n\n2. Cherry pick the first parent branch of the this PR on top of ... |
3,304,365,588 | 62,073 | MNT: migrate from codecs.open to open | closed | 2025-08-08T15:04:46 | 2025-08-08T16:43:46 | 2025-08-08T16:43:40 | https://github.com/pandas-dev/pandas/pull/62073 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62073 | https://github.com/pandas-dev/pandas/pull/62073 | ngoldbaum | 1 | c.f. #61950, towards supporting Python 3.14
See [the 3.14 deprecations](https://docs.python.org/3.14/whatsnew/3.14.html#deprecated) and https://github.com/python/cpython/issues/133036 for more details.
There is one spot that was nontrivial - the use in `pandas.util._print_versions` I think was buggy - it wanted t... | [
"Testing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @ngoldbaum "
] |
3,304,362,255 | 62,072 | BUG: DataFrame.to_json() does not accurately serialize floats such that they can be deserialized without lost information | open | 2025-08-08T15:03:26 | 2025-08-14T00:44:42 | null | https://github.com/pandas-dev/pandas/issues/62072 | true | null | null | PentageerJoshuaMeetsma | 5 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"IO JSON",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@PentageerJoshuaMeetsma Hey can i work on this?",
"Can I implement a fix?\n",
"The float precision gets lost in DataFrame.to_json() because the default JSON encoder doesn’t keep enough decimal places, to fix it you can convert the floats to strings with high precision (for example, using format(value, '.17g'))... |
3,303,877,602 | 62,071 | BUG:Pandas: Custom Metadata in DataFrame Subclass Not Deep-Copied | open | 2025-08-08T12:27:24 | 2025-08-14T00:45:09 | null | https://github.com/pandas-dev/pandas/issues/62071 | true | null | null | Qi-henry | 3 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"metadata",
"Needs Triage",
"Subclassing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"It seems this is expected according to the note in [df.copy](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.copy.html#pandas.DataFrame.copy).\n\n>When deep=True, data is copied but actual Python objects will not be copied recursively, only the reference to the object.\n",
"So what should I do to a... |
3,303,183,371 | 62,070 | Move chained assignment detection to cython for Python 3.14 compat | open | 2025-08-08T08:42:14 | 2025-08-15T16:48:40 | null | https://github.com/pandas-dev/pandas/pull/62070 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62070 | https://github.com/pandas-dev/pandas/pull/62070 | jorisvandenbossche | 1 | Draft exploring a solution for https://github.com/pandas-dev/pandas/issues/61368 | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Some commented-out code needs to be removed, otherwise looks nice"
] |
3,302,395,020 | 62,069 | DOC: Sort the pandas API reference navbar in alphabetical order | closed | 2025-08-08T02:19:34 | 2025-08-08T15:58:53 | 2025-08-08T15:58:53 | https://github.com/pandas-dev/pandas/pull/62069 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62069 | https://github.com/pandas-dev/pandas/pull/62069 | DoNguyenHung | 1 | - [x] closes #59164
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ]... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the PR, but as noted in the issue it still `needs discussion` on the solution to move forward so closing"
] |
3,302,254,495 | 62,068 | Update pytables.py to include a more thorough description of the min_itemsize variable | open | 2025-08-08T00:35:29 | 2025-08-08T15:37:54 | null | https://github.com/pandas-dev/pandas/pull/62068 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62068 | https://github.com/pandas-dev/pandas/pull/62068 | JoeDediop | 1 | - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/con... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Let’s start with the CI failures. Can you address them?"
] |
3,302,011,263 | 62,067 | DOC: Docstring additions for min_itemsize | closed | 2025-08-07T22:02:13 | 2025-08-07T23:49:18 | 2025-08-07T23:49:17 | https://github.com/pandas-dev/pandas/pull/62067 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62067 | https://github.com/pandas-dev/pandas/pull/62067 | JoeDediop | 1 | ## Problem Summary
The current pandas documentation for `min_itemsize` in HDFStore methods doesn’t clearly explain that it refers to byte length, not character length. This causes confusion when working with multi-byte characters.
## Proposed Addition to HDFStore.put() and HDFStore.append() docstrings
Add this... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"AI-generated pull requests are not welcome in this project, closing"
] |
3,301,539,329 | 62,066 | DEPS: Drop Python 3.10 | closed | 2025-08-07T18:46:55 | 2025-08-08T20:39:16 | 2025-08-08T19:54:59 | https://github.com/pandas-dev/pandas/pull/62066 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62066 | https://github.com/pandas-dev/pandas/pull/62066 | mroeschke | 1 | - [ ] closes https://github.com/pandas-dev/pandas/issues/60059 (Replace xxxx with the GitHub issue number)
| [
"Build",
"Deprecate",
"Python 3.10"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @mroeschke "
] |
3,301,491,156 | 62,065 | DEPS: Bump adbc-driver-postgresql/sqlite to 1.2 | closed | 2025-08-07T18:26:54 | 2025-08-11T20:59:04 | 2025-08-11T20:59:00 | https://github.com/pandas-dev/pandas/pull/62065 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62065 | https://github.com/pandas-dev/pandas/pull/62065 | mroeschke | 1 | These will have been out for ~1 year by the time (hopefully) pandas 3.0 comes out | [
"Dependencies"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"needs rebase, otherwise lgtm"
] |
3,301,419,589 | 62,064 | ENH: Persistent and Interoperable Accessors for NDFrame and Index (sliding window POC) | closed | 2025-08-07T18:01:32 | 2025-08-08T15:57:13 | 2025-08-08T15:57:13 | https://github.com/pandas-dev/pandas/issues/62064 | true | null | null | dangreb | 3 | ### Feature Type
- [x] Adding new functionality to pandas
- [x] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
### Please regard
_Took some free time this month for a run of the mill architecture assessment over pandas Python sources, this is del... | [
"Enhancement",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This looks like AI slop. Can you give me a human-only Tl;dr? An example of lack of persistence being a problem?",
"> This looks like AI slop. Can you give me a human-only Tl;dr? An example of lack of persistence being a problem?\n\nThere's no context of problems, as far as i'm concerned. As is should meet intend... |
3,301,083,705 | 62,063 | BUG: is_scalar(Enum) gives False | open | 2025-08-07T16:02:45 | 2025-08-24T12:46:18 | null | https://github.com/pandas-dev/pandas/issues/62063 | true | null | null | cmp0xff | 9 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"This behavior is consistent with the current pandas implementation of pandas.api.types.is_scalar.\nAccording to the documentation, only a specific set of built-in and pandas-native types are considered scalars (e.g., Python numeric types, strings, datetimes, Timedeltas, Periods, Decimals, Intervals, Frac... |
3,297,364,293 | 62,062 | Update put() and append() docstrings | closed | 2025-08-06T16:42:25 | 2025-08-06T16:43:07 | 2025-08-06T16:43:07 | https://github.com/pandas-dev/pandas/pull/62062 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62062 | https://github.com/pandas-dev/pandas/pull/62062 | JoeDediop | 0 | - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/con... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,297,149,062 | 62,061 | DOC: There is an unreadable dark text on the dark background in the getting started page | closed | 2025-08-06T15:24:26 | 2025-08-06T15:30:58 | 2025-08-06T15:30:58 | https://github.com/pandas-dev/pandas/issues/62061 | true | null | null | surenpoghosian | 1 | The text under the "Intro to pandas" section is unreadable due to being displayed in a dark color over the dark background.
</br>
<img width="1512" height="853" alt="Image" src="https://github.com/user-attachments/assets/38020b97-44cb-4293-ab71-40bcb28e4f51" />
</br>
</br>
The issue is valid for the `2.3` and `2.2`... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This will be fixed once pandas 3.0 is released (currently the dev docs is more visible)\n\nhttps://pandas.pydata.org/docs/dev/getting_started/index.html"
] |
3,297,104,474 | 62,060 | API: make construct_array_type non-classmethod | closed | 2025-08-06T15:10:09 | 2025-08-10T16:20:32 | 2025-08-06T17:29:10 | https://github.com/pandas-dev/pandas/pull/62060 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62060 | https://github.com/pandas-dev/pandas/pull/62060 | jbrockmendel | 1 | - [x] closes #58663 (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/co... | [
"ExtensionArray"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @jbrockmendel "
] |
3,296,747,180 | 62,059 | BUG: Inconsistent behavior of `MultiIndex.union` depending on duplicates and names | open | 2025-08-06T13:35:07 | 2025-08-17T17:19:20 | null | https://github.com/pandas-dev/pandas/issues/62059 | true | null | null | torfsen | 0 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"MultiIndex",
"Needs Triage",
"setops"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,296,689,449 | 62,058 | DOC: add 'Try Pandas Online' section to the 'Getting Started' page | closed | 2025-08-06T13:18:59 | 2025-08-06T15:45:12 | 2025-08-06T15:45:11 | https://github.com/pandas-dev/pandas/pull/62058 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62058 | https://github.com/pandas-dev/pandas/pull/62058 | surenpoghosian | 1 | - [x] closes #61060
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the pull request, but I think this is being worked on as apart of https://github.com/pandas-dev/pandas/pull/61061 so closing since that contributor also added this module to link to our docs. Happy to have your contribution on other un-assigned issues"
] |
3,296,568,167 | 62,057 | DOC: DataFrame.to_feather() does not accept *all* file-like objects | closed | 2025-08-06T12:44:29 | 2025-08-06T21:58:34 | 2025-08-06T21:58:34 | https://github.com/pandas-dev/pandas/issues/62057 | true | null | null | qris | 4 | ### Pandas version checks
- [x] I have checked that the issue still exists on the latest versions of the docs on `main` [here](https://pandas.pydata.org/docs/dev/)
### Location of the documentation
https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_feather.html
### Documentation problem
Since #35408... | [
"Docs",
"IO Parquet",
"Closing Candidate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. You mention:\n\n> I note that it's not actually supposed to work: [pyarrow.feather.write_feather](https://arrow.apache.org/docs/python/generated/pyarrow.feather.write_feather.html) says:\n> ...\n\nI do not follow this. What does this have to do whether `pd.write_feather` supports file-like o... |
3,295,672,897 | 62,056 | ENH: pd.DataFrame.describe(): rename top to mode | closed | 2025-08-06T08:09:24 | 2025-08-06T15:32:21 | 2025-08-06T15:32:21 | https://github.com/pandas-dev/pandas/issues/62056 | true | null | null | Krisselack | 1 | ### Feature Type
- [ ] Adding new functionality to pandas
- [x] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
In pd.DataFrame.describe(), the most frequent value is termed 'top'.
> The top is the most common value.
But there exists a statistic... | [
"Enhancement",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the suggestion but this has been long standing behavior and would be a large breaking change for users expecting \"top\". I would suggest renaming this label if you prefer \"mode\". Closing"
] |
3,295,060,237 | 62,055 | BUG: Fix all-NaT when ArrowEA.astype to categorical | open | 2025-08-06T03:33:17 | 2025-08-18T17:33:14 | null | https://github.com/pandas-dev/pandas/pull/62055 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62055 | https://github.com/pandas-dev/pandas/pull/62055 | arthurlw | 3 | - [x] closes #62051 (Replace xxxx with the GitHub issue number)
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/co... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Using `astype` with `CategoricalDtype` coerces values into `Index`, where the code tries to compare two `Index` objects with numpy and pyarrow types. \r\n\r\nIn the first example, the code does not think they are comparable in `Index._should_compare`, and returns all -1s. In the second example, the code correctly ... |
3,294,962,830 | 62,054 | DOC: Inform users that incomplete reports will generally be closed | closed | 2025-08-06T02:25:09 | 2025-08-06T15:35:21 | 2025-08-06T15:35:15 | https://github.com/pandas-dev/pandas/pull/62054 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62054 | https://github.com/pandas-dev/pandas/pull/62054 | rhshadrach | 1 | - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/con... | [
"Admin"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @rhshadrach "
] |
3,294,821,413 | 62,053 | BUG: read_csv with engine=pyarrow and numpy-nullable dtype | closed | 2025-08-06T00:50:10 | 2025-08-12T18:11:58 | 2025-08-12T17:42:27 | https://github.com/pandas-dev/pandas/pull/62053 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62053 | https://github.com/pandas-dev/pandas/pull/62053 | jbrockmendel | 8 | - [x] closes #56136 (Replace xxxx with the GitHub issue number)
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/co... | [
"IO CSV"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"> From the original issue, do you know where we are introducing float to lose precision when wanting the result type to be int?\r\n\r\nIn `arrow_table_to_pandas` the pyarrow[int64] columns get converted to np.float64, then in finalize_pandas_output that gets cast back to Int64.\r\n",
"OK I see, it's `pyarrow.Tab... |
3,294,677,918 | 62,052 | BUG: Pandas mean function fails on type pd.NA with axis=1 but not axis=0 | closed | 2025-08-05T23:13:56 | 2025-08-05T23:16:41 | 2025-08-05T23:16:41 | https://github.com/pandas-dev/pandas/issues/62052 | true | null | null | peterktrinh | 0 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,294,011,688 | 62,051 | BUG: ArrowEA.astype to categorical returning all-NaT | open | 2025-08-05T18:15:40 | 2025-08-06T03:29:06 | null | https://github.com/pandas-dev/pandas/issues/62051 | true | null | null | jbrockmendel | 1 | ```python
arr = pd.array(
["2017-01-01", "2018-01-01", "2019-01-01"],
dtype="date32[day][pyarrow]"
)
cats = pd.Index(['2017-01-01', '2018-01-01', '2019-01-01'], dtype="M8[s]")
dtype = pd.CategoricalDtype(cats, ordered=False)
arr.astype(cats.dtype) # <- works
arr.astype(dtype) # <- all-NaT
arr = pd.co... | [
"Bug",
"Dtype Conversions",
"Categorical",
"datetime.date",
"Arrow"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take\n"
] |
3,293,913,873 | 62,050 | ENH: String functions for df.aggregate() | open | 2025-08-05T17:36:41 | 2025-08-24T12:28:07 | null | https://github.com/pandas-dev/pandas/issues/62050 | true | null | null | JustusKnnck | 2 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
I wish I could use string functions like "first" and "last" when aggregating a dataframe just like they are used when aggregating a goru... | [
"Enhancement",
"Needs Discussion",
"Reduction Operations"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the request. Prior to 3.0, pandas already has `Series.first` but it only works with time series and has a required `offset` argument. This was deprecated and will be removed in 3.0, so we would be able to add `Series.first` to get the first element of the Series (similarly with last). I'm positive on th... |
3,293,700,389 | 62,049 | REF: simplify mask_missing | closed | 2025-08-05T16:28:39 | 2025-08-05T17:21:34 | 2025-08-05T17:19:35 | https://github.com/pandas-dev/pandas/pull/62049 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62049 | https://github.com/pandas-dev/pandas/pull/62049 | jbrockmendel | 1 | In the past this had to handle list-like values_to_mask but that is no longer the case, so this can be simplified a bit. The edit in dtypes.common makes `dtype.kind in ...` checks very slightly faster. | [
"Refactor"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @jbrockmendel "
] |
3,293,566,587 | 62,048 | API: Series[Float64] == False | closed | 2025-08-05T15:35:11 | 2025-08-06T02:34:49 | 2025-08-06T02:34:49 | https://github.com/pandas-dev/pandas/issues/62048 | true | null | null | jbrockmendel | 2 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This impacts all dtypes (bool, int, float) with all storage types (NumPy, PyArrow) I believe. NumPy and Polars also behave the same way - giving `True` as the result. While I don't necessarily disagree with the idea of not allowing Boolean and float to compare as equal, it seems like we might be creating a new spe... |
3,293,532,273 | 62,047 | BUG: failing when groupby on data containing bytes | closed | 2025-08-05T15:23:14 | 2025-08-06T01:52:22 | 2025-08-06T01:51:55 | https://github.com/pandas-dev/pandas/issues/62047 | true | null | null | cderemble | 1 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Duplicate Report",
"Error Reporting",
"Constructors"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. pandas does not support NumPy byte arrays, only bytes objects stored in an object dtype array. This should error on Series construction, which is #60108. Closing as a duplicate."
] |
3,291,394,782 | 62,046 | BUG Updated border attribute to in-line CSS | open | 2025-08-05T03:13:19 | 2025-08-08T16:02:17 | null | https://github.com/pandas-dev/pandas/pull/62046 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62046 | https://github.com/pandas-dev/pandas/pull/62046 | bennychenOSU | 0 | - [ x] closes #61949
- [ x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- ... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,291,011,670 | 62,045 | DOC: updated BooleanDType docstring | open | 2025-08-04T22:56:08 | 2025-08-06T17:44:32 | null | https://github.com/pandas-dev/pandas/pull/62045 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62045 | https://github.com/pandas-dev/pandas/pull/62045 | saguaro1234 | 0 | - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ check] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/developmen... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,290,923,808 | 62,044 | DOC: BooleanDType docstring update | closed | 2025-08-04T22:11:05 | 2025-08-04T22:15:16 | 2025-08-04T22:15:16 | https://github.com/pandas-dev/pandas/pull/62044 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62044 | https://github.com/pandas-dev/pandas/pull/62044 | saguaro1234 | 0 | - [61939 ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [check ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/devel... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,290,359,243 | 62,043 | API: rank with nullable dtypes preserve NA | closed | 2025-08-04T18:09:09 | 2025-08-04T20:53:06 | 2025-08-04T20:43:51 | https://github.com/pandas-dev/pandas/pull/62043 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62043 | https://github.com/pandas-dev/pandas/pull/62043 | jbrockmendel | 1 | - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/con... | [
"NA - MaskedArrays"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @jbrockmendel "
] |
3,290,320,726 | 62,042 | REF: Avoid/defer `dtype=object` containers in plotting | closed | 2025-08-04T17:53:54 | 2025-08-05T16:16:39 | 2025-08-05T14:52:08 | https://github.com/pandas-dev/pandas/pull/62042 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62042 | https://github.com/pandas-dev/pandas/pull/62042 | mroeschke | 3 | Probably best to avoid operations on containers with these types unless needed/expected | [
"Visualization"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"pandas/plotting/_matplotlib/boxplot.py:246: error: Argument \"labels\" to \"_set_ticklabels\" has incompatible type \"list[Hashable]\"; expected \"list[str]\" [arg-type]\r\n",
"Seems benign",
"thanks @mroeschke "
] |
3,290,085,052 | 62,041 | [pre-commit.ci] pre-commit autoupdate | closed | 2025-08-04T16:30:39 | 2025-08-04T20:37:25 | 2025-08-04T20:37:22 | https://github.com/pandas-dev/pandas/pull/62041 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62041 | https://github.com/pandas-dev/pandas/pull/62041 | pre-commit-ci[bot] | 0 | <!--pre-commit.ci start-->
updates:
- [github.com/astral-sh/ruff-pre-commit: v0.12.2 → v0.12.7](https://github.com/astral-sh/ruff-pre-commit/compare/v0.12.2...v0.12.7)
- [github.com/pre-commit/mirrors-clang-format: v20.1.7 → v20.1.8](https://github.com/pre-commit/mirrors-clang-format/compare/v20.1.7...v20.1.8)
- [githu... | [
"Code Style"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,289,945,128 | 62,040 | API: mode.nan_is_na to consistently distinguish NaN-vs-NA | open | 2025-08-04T15:42:47 | 2025-08-23T15:32:11 | null | https://github.com/pandas-dev/pandas/pull/62040 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62040 | https://github.com/pandas-dev/pandas/pull/62040 | jbrockmendel | 1 | - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/con... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Discussed in the dev call before last where I, @mroeschke, and @Dr-Irv were +1. Joris was unenthused but \"not necessarily opposed\". On slack @rhshadrach expressed a +1. All those opinions were to the concept, not the execution."
] |
3,289,017,015 | 62,039 | Bump pypa/cibuildwheel from 3.1.1 to 3.1.3 | closed | 2025-08-04T11:15:30 | 2025-08-04T16:32:56 | 2025-08-04T16:32:52 | https://github.com/pandas-dev/pandas/pull/62039 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62039 | https://github.com/pandas-dev/pandas/pull/62039 | dependabot[bot] | 0 | Bumps [pypa/cibuildwheel](https://github.com/pypa/cibuildwheel) from 3.1.1 to 3.1.3.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/pypa/cibuildwheel/releases">pypa/cibuildwheel's releases</a>.</em></p>
<blockquote>
<h2>v3.1.3</h2>
<ul>
<li>🐛 Fix bug where "latest"... | [
"CI",
"Dependencies"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,287,540,739 | 62,038 | API: improve dtype in df.where with EA other | closed | 2025-08-03T21:08:57 | 2025-08-05T02:03:38 | 2025-08-05T01:40:28 | https://github.com/pandas-dev/pandas/pull/62038 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62038 | https://github.com/pandas-dev/pandas/pull/62038 | jbrockmendel | 9 | - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/con... | [
"Dtype Conversions",
"Error Reporting"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Looks like [`87d5fdf`](https://github.com/pandas-dev/pandas/pull/62038/commits/87d5fdfd1983c6408033f22009bab7b5b0d1be07) undid all your changes before",
"Woops. Looks better now.",
"```\r\nruff format.............................................................................................Failed\r\n- hook ... |
3,287,397,246 | 62,037 | "BUG: Fix repeated rolling mean assignment causing all-NaN values" | closed | 2025-08-03T17:44:44 | 2025-08-03T18:32:10 | 2025-08-03T18:32:09 | https://github.com/pandas-dev/pandas/pull/62037 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62037 | https://github.com/pandas-dev/pandas/pull/62037 | abujabarmubarak | 3 | ## Fix repeated rolling mean assignment causing all-NaN values
- Closes #<issue_number> (if there’s an issue, otherwise leave this out)
- This PR fixes a regression where assigning the result of `.rolling().mean()` to a DataFrame column more than once caused all values in the column to become NaN (see pandas-dev/pa... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Is this AI? The claims about tests in the OP are obviously false.",
"@mroeschke can we block a person? Looking at their PR history it has “AI spam” written all over it",
"Agreed, blocking and closing this PR"
] |
3,287,371,818 | 62,036 | BUG: rank with object dtype and small values | open | 2025-08-03T17:18:34 | 2025-08-15T15:16:00 | null | https://github.com/pandas-dev/pandas/issues/62036 | true | null | null | jbrockmendel | 1 | ```python
# Based on test_rank_ea_small_values
import pandas as pd
ser = pd.Series(
[5.4954145e29, -9.791984e-21, 9.3715776e-26, pd.NA, 1.8790257e-28],
dtype="Float64",
)
ser2 = ser.astype(object)
>>> ser.rank(method="min")
0 4.0
1 1.0
2 3.0
3 NaN
4 2.0
dtype: float64
>>> ser2.rank(method="min... | [
"Bug",
"Missing-data",
"NA - MaskedArrays",
"Transformations"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Take"
] |
3,287,304,965 | 62,035 | BUG: raise a proper exception when str.rsplit is passed a regex and clarify the docs | open | 2025-08-03T16:07:18 | 2025-08-04T18:09:04 | null | https://github.com/pandas-dev/pandas/pull/62035 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62035 | https://github.com/pandas-dev/pandas/pull/62035 | hamdanal | 0 | - [x] closes #29633
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ]... | [
"Strings"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,287,188,882 | 62,034 | Ignore this | closed | 2025-08-03T13:42:03 | 2025-08-03T14:39:35 | 2025-08-03T14:39:35 | https://github.com/pandas-dev/pandas/pull/62034 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62034 | https://github.com/pandas-dev/pandas/pull/62034 | 0x3vAD | 0 | - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/con... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,287,166,970 | 62,033 | BUG: Wrong inferred type in case of a mixture of boolean, float and integers | open | 2025-08-03T13:15:29 | 2025-08-05T11:03:33 | null | https://github.com/pandas-dev/pandas/issues/62033 | true | null | null | tqa236 | 3 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Dtype Conversions"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Confirmed on main. PRs are welcome!\n\nThanks for raising!",
"Look like the definition is not super clear here and changing it can touch a lot of places. \n\nThis is the current definition. I guess the implementation follows it.\n\n```\n - 'mixed' is the catchall for anything that is not otherwise\n spec... |
3,286,989,398 | 62,032 | EHN: return early when the result is None | closed | 2025-08-03T09:13:48 | 2025-08-04T16:48:27 | 2025-08-04T16:48:22 | https://github.com/pandas-dev/pandas/pull/62032 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62032 | https://github.com/pandas-dev/pandas/pull/62032 | zhiqiangxu | 3 | There's no need to continue the loop when the result is destined to be None. | [
"Index"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I prefer single-return, but not a huge deal",
"> I prefer single-return, but not a huge deal\r\n\r\nSwitched to using `break` instead.",
"Thanks @zhiqiangxu "
] |
3,286,799,825 | 62,031 | API: timestamp resolution inference: default to microseconds when possible | open | 2025-08-03T07:36:52 | 2025-08-15T23:06:40 | null | https://github.com/pandas-dev/pandas/pull/62031 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62031 | https://github.com/pandas-dev/pandas/pull/62031 | jorisvandenbossche | 3 | Draft PR for https://github.com/pandas-dev/pandas/issues/58989/
This should already make sure that we consistently use 'us' when converting non-numeric data in `pd.to_datetime` and `pd.Timestamp`, but if we want to do this, this PR still requires updating lots of tests and docs (and whatsnew) and cleaning up.
Cur... | [
"Datetime",
"Non-Nano",
"Timestamp"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@jbrockmendel would you have time to give this a review?",
"Yes, but its in line behind a few other reviews i owe.",
"Small comments, no complaints about the approach. Haven't looked at the tests yet since i don't expect any surprises; will do so once green."
] |
3,286,617,297 | 62,030 | BUG: Catch TypeError in _is_dtype_type when converting abstract numpy types (#62018) | open | 2025-08-03T03:05:01 | 2025-08-03T16:43:53 | null | https://github.com/pandas-dev/pandas/pull/62030 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62030 | https://github.com/pandas-dev/pandas/pull/62030 | abhaypsingh | 1 | - Closes #62018
- Wrap np.dtype() call in try/except to handle abstract numpy types (e.g. np.floating, np.inexact).
- On TypeError, return condition(type(None)) to indicate mismatch rather than raising.
This prevents `is_signed_integer_dtype` and similar functions from raising on abstract NumPy classes and restore... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This is a small perf hit that will add up in a ton of places, all for something that we shouldn't expect to work anyway."
] |
3,286,518,961 | 62,029 | DOC: fix mask/where docstring alignment note (#61781) | open | 2025-08-02T23:44:06 | 2025-08-03T16:49:01 | null | https://github.com/pandas-dev/pandas/pull/62029 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62029 | https://github.com/pandas-dev/pandas/pull/62029 | abhaypsingh | 1 | The explanatory paragraph wrongly said that alignment is between `other` and `cond`. It is between *self* and `cond`; values fall back to *self* for mis-aligned positions. Update both generic docstring templates so all Series/DataFrame variants inherit the correct wording.
Closes #61781
- [ ] closes #xxxx (Repl... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"How do I merge this? "
] |
3,286,290,983 | 62,028 | TST: Speed up hypothesis and slow tests | closed | 2025-08-02T20:49:14 | 2025-08-03T18:28:15 | 2025-08-03T16:45:53 | https://github.com/pandas-dev/pandas/pull/62028 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62028 | https://github.com/pandas-dev/pandas/pull/62028 | mroeschke | 1 | * Hypothesis tests seems to be the slowest running tests in CI. Limiting the `max_examples` IMO is OK as we're looking to exercise some edge cases
* Avoiding some work being done in `test_*number_of_levels_larger_than_int32` as we're just looking to check a warning | [
"Testing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"thanks @mroeschke "
] |
3,286,157,068 | 62,027 | BUG: Fix DataFrame reduction to preserve NaN vs <NA> in mixed dtypes (GH#62024) | closed | 2025-08-02T17:49:23 | 2025-08-02T22:34:45 | 2025-08-02T22:34:45 | https://github.com/pandas-dev/pandas/pull/62027 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62027 | https://github.com/pandas-dev/pandas/pull/62027 | Aniketsy | 2 | (GH#62024)
This PR fixes a bug in (DataFrame._reduce) where reductions on (DataFrames) with mixed dtypes (e.g., float64 and nullable integer Int64) would incorrectly upcast all results to use pd.NA and the Float64 dtype if any column was a pandas extension type.
Please let me know if my approach or fix needs any... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This is not the correct approach. Please look for issues with the Good First Issue label.",
"Thankyou for feedback . I will look for good first issues"
] |
3,286,155,407 | 62,026 | BUG: groupby.idxmin/idxmax with all NA values should raise | closed | 2025-08-02T17:47:07 | 2025-08-05T18:55:50 | 2025-08-05T18:55:42 | https://github.com/pandas-dev/pandas/pull/62026 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62026 | https://github.com/pandas-dev/pandas/pull/62026 | rhshadrach | 2 | - [x] closes #57745
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ]... | [
"Groupby",
"API - Consistency",
"Reduction Operations"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Couple of small questions, assuming no surprises on those: LGTM",
"Thanks @rhshadrach "
] |
3,286,153,785 | 62,025 | BUG: Change default of observed in Series.groupby | closed | 2025-08-02T17:44:40 | 2025-08-02T20:52:31 | 2025-08-02T20:52:25 | https://github.com/pandas-dev/pandas/pull/62025 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62025 | https://github.com/pandas-dev/pandas/pull/62025 | rhshadrach | 1 | - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/con... | [
"Bug",
"Groupby",
"Categorical"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @rhshadrach "
] |
3,286,022,429 | 62,024 | API: NaN vs NA in mixed reduction | open | 2025-08-02T15:38:02 | 2025-08-16T18:58:27 | null | https://github.com/pandas-dev/pandas/issues/62024 | true | null | null | jbrockmendel | 14 | ```python
df = pd.DataFrame(
{
"B": [1, None, 3],
"C": pd.array([1, None, 3], dtype="Int64"),
}
)
result = df.skew()
>>> result
B <NA>
C <NA>
dtype: Float64
>>> df[["B"]].skew()
B NaN
dtype: float64
```
Based on test_mixed_reductions. The presence of column "C" shouldn't affect the r... | [
"Bug",
"Reduction Operations",
"PDEP missing values"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"> ### Expected Behavior\n> NA\n\nI would expect `Float64` dtype with `NaN` and `NA`. One might also argue object, but so far it appears we coerce to the nullable dtypes.\n\n```python\ndf = pd.DataFrame(\n {\n \"B\": [1, 2, 3],\n \"C\": pd.array([1, 2, 3], dtype=\"Float64\"),\n }\n)\nprint(df.s... |
3,285,544,351 | 62,023 | continue from #61957 which closed with unmerged commit | open | 2025-08-02T03:19:52 | 2025-08-16T00:35:13 | null | https://github.com/pandas-dev/pandas/pull/62023 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62023 | https://github.com/pandas-dev/pandas/pull/62023 | maddiew95 | 2 | Using Markup() due to ascii reading on attribute tags. Can check in #61957 | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"for #51536 ",
"hi @mroeschke could you advice repacement for Markup safe ?"
] |
3,285,518,070 | 62,022 | DEPR: convert_dtypes keywords | open | 2025-08-02T02:37:27 | 2025-08-07T02:38:42 | null | https://github.com/pandas-dev/pandas/issues/62022 | true | null | null | jbrockmendel | 4 | Looking at the keywords for convert_dtypes I'm wondering if users actually want it for anything other than dtype_backend?
| [
"Dtype Conversions",
"Deprecate",
"Needs Discussion"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I would like to work on this issue.\nCould you please provide more detailed instructions or clarify the specific changes you’re looking for?\nThankyou !",
"It seems to me there are two situations that a user may face:\n\n1. \"I want to find the best dtype to hold my data\". For this, I think the keywords e.g. `c... |
3,285,422,535 | 62,021 | TST: nan->NA in non-construction tests | closed | 2025-08-02T00:45:44 | 2025-08-04T16:53:23 | 2025-08-04T16:52:42 | https://github.com/pandas-dev/pandas/pull/62021 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62021 | https://github.com/pandas-dev/pandas/pull/62021 | jbrockmendel | 1 | Significantly trim the diff for PR(s) implementing always-distinguish behavior. | [
"Testing",
"Missing-data"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @jbrockmendel "
] |
3,284,873,938 | 62,020 | BUG: Fix is_signed_integer_dtype to handle abstract floating types (GH 62018) | open | 2025-08-01T19:05:51 | 2025-08-22T15:57:45 | null | https://github.com/pandas-dev/pandas/pull/62020 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62020 | https://github.com/pandas-dev/pandas/pull/62020 | Aniketsy | 3 | (#GH 62018)
This PR fixes a bug in (is_signed_integer_dtype) where abstarct Numpy floating types would raise a TypeError .
Now, the function returns False for these types, as expected.
Please let me know if my approach or fix needs any improvements . I’m open to feedback and happy to make changes based on suggesti... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Please wait for discussion on the issue as to whether this is worth doing.",
"Hi @jbrockmendel, just following up, if there are any updates on #62018? Happy to adjust the PR based on the discussion.",
"Per my comment on the issue, i dont think anything should be done here. can wait to see if other maintainers... |
3,284,662,373 | 62,019 | REF: make copy keyword in recode_for_categories keyword only | closed | 2025-08-01T17:36:37 | 2025-08-04T22:07:49 | 2025-08-04T21:19:49 | https://github.com/pandas-dev/pandas/pull/62019 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62019 | https://github.com/pandas-dev/pandas/pull/62019 | mroeschke | 1 | Follows up to https://github.com/pandas-dev/pandas/pull/62000
`recode_for_categories` had a default `copy=True` to copy the passed codes if the codes didn't need re-coding. This PR makes this argument keyword only to make it explicit if the caller wants to copy - to avoid unnecessary copying when blindly using `reco... | [
"Categorical"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @mroeschke "
] |
3,283,710,176 | 62,018 | BUG: pd.api.types.is_signed_integer_dtype(np.floating) throws TypeError | open | 2025-08-01T12:11:10 | 2025-08-01T20:49:38 | null | https://github.com/pandas-dev/pandas/issues/62018 | true | null | null | windiana42 | 1 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I don't think we should expect this to work. There will never be an object with one of these objects as its dtype."
] |
3,283,447,071 | 62,017 | BUG: Fix assert_series_equal with check_category_order=False for categoricals with nulls | closed | 2025-08-01T10:39:40 | 2025-08-07T12:20:08 | 2025-08-07T12:20:08 | https://github.com/pandas-dev/pandas/pull/62017 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62017 | https://github.com/pandas-dev/pandas/pull/62017 | anishkarki | 0 | - [x] closes #62008 (Replace xxxx with the GitHub issue number)
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/co... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,282,657,327 | 62,016 | DOC: Add example for multi-column joins using `merge` | open | 2025-08-01T05:55:22 | 2025-08-01T06:57:07 | null | https://github.com/pandas-dev/pandas/pull/62016 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62016 | https://github.com/pandas-dev/pandas/pull/62016 | thwait | 0 | - [x] closes #57722
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ]... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,281,851,417 | 62,015 | DOC: Add SSLCertVerificationError warning message for documentation b… | closed | 2025-07-31T22:04:18 | 2025-08-05T16:05:59 | 2025-08-05T16:05:54 | https://github.com/pandas-dev/pandas/pull/62015 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62015 | https://github.com/pandas-dev/pandas/pull/62015 | jeffersbaxter | 2 | …uild fail
- [ ] closes #61975
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-c... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Here is a screenshot of the changed section in Contributing to the Documentation, if you chose to merge.\r\n\r\n<img width=\"825\" height=\"360\" alt=\"Screenshot 2025-08-02 at 10 34 19 PM\" src=\"https://github.com/user-attachments/assets/7cf8297b-3781-42f6-b705-bb63f8fc90bb\" />\r\n",
"Thanks @jeffersbaxter "
... |
3,281,338,614 | 62,014 | Fix cbusday calendar Typecheck v2 | open | 2025-07-31T18:06:57 | 2025-07-31T18:07:42 | null | https://github.com/pandas-dev/pandas/pull/62014 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62014 | https://github.com/pandas-dev/pandas/pull/62014 | prblydv | 0 | - [x] closes #60647
- [x] Tests added and passed
- [x] Code checks passed
- [ ] Type hints added (not applicable here)
- [x] Added an entry to `whatsnew/v2.2.0.rst` under "Bug fixes > Timeseries"
### Initial Bug
Passing an object like `NYSEExchangeCalendar` to `CustomBusinessDay(calendar=...)` failed or behave... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,281,125,909 | 62,013 | BUG: Sql select from database type cast issue | open | 2025-07-31T16:47:49 | 2025-07-31T16:47:49 | null | https://github.com/pandas-dev/pandas/issues/62013 | true | null | null | Closius | 0 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,280,429,368 | 62,012 | BUG: Raise TypeError for invalid calendar types in CustomBusinessDay (#60647) | closed | 2025-07-31T13:11:29 | 2025-07-31T15:54:55 | 2025-07-31T15:54:54 | https://github.com/pandas-dev/pandas/pull/62012 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62012 | https://github.com/pandas-dev/pandas/pull/62012 | prblydv | 1 | - Closes #60647
### Bug Description
Previously, if an invalid `calendar` argument was passed to `CustomBusinessDay` (e.g., a `pandas_market_calendars` object), it was silently ignored. This resulted in potentially incorrect behavior without warning, which could lead to confusion and incorrect results.
### What T... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"We don't accept AI generated pull requests so closing"
] |
3,280,258,859 | 62,011 | BUG: Fix assert_series_equal for categoricals with nulls and check_category_order=False (#62008) | closed | 2025-07-31T12:22:18 | 2025-08-13T23:22:09 | 2025-08-13T23:22:09 | https://github.com/pandas-dev/pandas/pull/62011 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62011 | https://github.com/pandas-dev/pandas/pull/62011 | Aniketsy | 2 | ### Description
This PR fixes an issue where `pd.testing.assert_series_equal` fails when comparing Series with categorical values containing NaNs when using `check_category_order=False`.
### Problem
When using `left.categories.take(left.codes)` for comparing category values, null codes (-1) were not handled correc... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hi @mroeschke\r\nThis PR fixes an issue where pd.testing.assert_series_equal fails when comparing Series with categorical values containing NaNs when using check_category_order=False.\r\n\r\nI'd really appreciate it if you could take a look and provide feedback .\r\nPlease let me know if anything needs to be impro... |
3,279,734,756 | 62,010 | DOC: Series and DataFrame.reindex accepts Timedelta as tolerance, which is not documented | closed | 2025-07-31T09:23:06 | 2025-08-05T07:47:38 | 2025-08-05T07:47:38 | https://github.com/pandas-dev/pandas/issues/62010 | true | null | null | cmp0xff | 2 | ### Pandas version checks
- [x] I have checked that the issue still exists on the latest versions of the docs on `main` [here](https://pandas.pydata.org/docs/dev/)
### Location of the documentation
- https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.reindex.html
- https://pandas.pydata.org/pa... | [
"Docs",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"In the docs I see that the value for tolerance can be a scalar so Timedelta falls into that category (see the definition of Scalar in pandas/_typing.py).\nIf anything you could correct the docstring as it says that in the case of a list it needs to match the dtype of the index which is misguiding since the subtrac... |
3,279,409,636 | 62,009 | BUG FIX: pandas.arrays.IntervalArray.overlaps() incorrectly documents that it accepts IntervalArray. | open | 2025-07-31T07:24:16 | 2025-07-31T16:12:39 | null | https://github.com/pandas-dev/pandas/pull/62009 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62009 | https://github.com/pandas-dev/pandas/pull/62009 | khemkaran10 | 0 | in `pandas.arrays.IntervalArray.overlaps`, it does not support _IntervalArray_ yet. so parameter _other_ should be _Interval_ in the docs.
Reference: https://pandas.pydata.org/docs/reference/api/pandas.arrays.IntervalArray.overlaps.html
- [x] closes #62004
| [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,279,403,198 | 62,008 | BUG: `assert_series_equal` broken with `check_category_order=False` for arrays with null values | open | 2025-07-31T07:21:50 | 2025-08-01T07:33:31 | null | https://github.com/pandas-dev/pandas/issues/62008 | true | null | null | fjetter | 3 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Categorical"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Confirmed on main. PRs are welcome!\n\nThanks for raising this!",
"The issue here is that for null values, left.codes / right.codes will give -1. if we call take() on this, it will set the np.nan with last value in the array (if allow_fill = False). I think the fix could be to pass allow_fill as True , and fill_... |
3,278,821,384 | 62,007 | DOC: Standardize noncompliant docstrings in pandas/io/html.py (flake8-docstrings) #61944 | open | 2025-07-31T01:00:46 | 2025-08-08T01:03:26 | null | https://github.com/pandas-dev/pandas/pull/62007 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62007 | https://github.com/pandas-dev/pandas/pull/62007 | gumus-g | 0 | …-docstrings) #61944
This PR addresses docstring violations identified in [#61944](https://github.com/pandas-dev/pandas/issues/61944).
### Changes made:
- `_build_xpath_expr`: fixed D205 and D400
- `_build_doc`: fixed D205, D400, and D401
- `_equals_tag` and `_handle_hidden_tables`: fixed D400
- Verified compli... | [
"Docs",
"IO HTML"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,278,728,725 | 62,006 | BUG: Implement elementwise IntervalArray.overlaps (#62004) | closed | 2025-07-30T23:46:44 | 2025-07-31T11:16:57 | 2025-07-31T11:16:57 | https://github.com/pandas-dev/pandas/pull/62006 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62006 | https://github.com/pandas-dev/pandas/pull/62006 | Aniketsy | 0 | This PR : Fixes #62004: IntervalArray.overlaps now supports IntervalArray and IntervalIndex inputs .
Please let me know if there are any improvements. I can make to my approach or fix. I’m happy to incorporate any feedback or suggestions you may have.
Thankyou ! | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,278,524,833 | 62,005 | DOC: documenting pandas.MultIndex.argsort | open | 2025-07-30T21:48:05 | 2025-07-31T03:51:40 | null | https://github.com/pandas-dev/pandas/pull/62005 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62005 | https://github.com/pandas-dev/pandas/pull/62005 | loicdiridollou | 0 | - [x] closes #61998
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ... | [
"Docs",
"MultiIndex",
"Sorting"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,278,492,369 | 62,004 | BUG: `IntervalArray.overlaps()` documents that it accepts another `IntervalArray`, but it is not implemented | open | 2025-07-30T21:28:09 | 2025-08-01T14:30:45 | null | https://github.com/pandas-dev/pandas/issues/62004 | true | null | null | Dr-Irv | 6 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Docs",
"Interval"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Some discussion here:\n\nhttps://github.com/pandas-dev/pandas/pull/22939#discussion_r227746448\n\nMostly pointing at #18975. With this, I would recommend making this on fixing the docstring for now and we can discuss implementing in the future if desired. \n\nFor this incorrect docstring, the error was introduced ... |
3,278,195,740 | 62,003 | Fix for issue 62001; ENH: Context-aware error messages for optional dependencies | closed | 2025-07-30T19:18:29 | 2025-07-31T00:36:14 | 2025-07-30T20:49:11 | https://github.com/pandas-dev/pandas/pull/62003 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62003 | https://github.com/pandas-dev/pandas/pull/62003 | wilocu | 2 | #62001
Summary
This PR enhances import_optional_dependency() to provide context-aware error messages that suggest relevant alternatives when
dependencies are missing, addressing issue #62001.
Before:
Missing optional dependency 'openpyxl'. Use pip or conda to install openpyxl.
After:
M... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Also I suspect this PR was AI generated so closing. We discourage heavily AI generated pull requests",
"It partially was, I appreciate the review, it makes sense, thank you"
] |
3,277,510,423 | 62,002 | DOC: Simplify footer text in pandas documentation | closed | 2025-07-30T15:17:42 | 2025-07-30T15:50:08 | 2025-07-30T15:50:08 | https://github.com/pandas-dev/pandas/pull/62002 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62002 | https://github.com/pandas-dev/pandas/pull/62002 | revanthpuvanes | 1 | This PR simplifies the documentation footer template for clarity.
(Note: This is unrelated to issue #60647, which is about CustomBusinessDay.)
| [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This is fine as is, closing"
] |
3,277,191,856 | 62,001 | ENH: error messages for missing optional dependencies should point out the options | open | 2025-07-30T13:59:14 | 2025-08-14T13:40:29 | null | https://github.com/pandas-dev/pandas/issues/62001 | true | null | null | joooeey | 8 | ### Feature Type
- [ ] Adding new functionality to pandas
- [x] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
When using a functionality that requires a ~~performance dependency~~ [optional dependency](https://pandas.pydata.org/docs/getting_start... | [
"Enhancement",
"Error Reporting",
"Closing Candidate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"> When using a functionality that requires a [performance dependency](https://pandas.pydata.org/docs/getting_started/install.html#performance-dependencies-recommended) that is not installed, the error message points out a specific library instead of the multiple options that the user has.\n\nCan you give... |
3,276,652,040 | 62,000 | BUG: Avoid copying categorical codes if `copy=False` | closed | 2025-07-30T11:24:54 | 2025-08-04T07:05:42 | 2025-08-01T16:58:40 | https://github.com/pandas-dev/pandas/pull/62000 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/62000 | https://github.com/pandas-dev/pandas/pull/62000 | fjetter | 1 | Categorical codes are always copied by `recode_for_categories` regardless of the copy argument. This fixes it by passing the copy argument down to `recode_for_categories`
- ~[ ] closes #xxxx (Replace xxxx with the GitHub issue number)~
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/develop... | [
"Categorical"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @fjetter "
] |
3,275,421,046 | 61,999 | Maddie doc simplify footer theme | closed | 2025-07-30T01:42:49 | 2025-07-30T01:44:16 | 2025-07-30T01:43:15 | https://github.com/pandas-dev/pandas/pull/61999 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61999 | https://github.com/pandas-dev/pandas/pull/61999 | maddiew95 | 0 | Not using _template, all in conf.py | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,275,269,523 | 61,998 | DOC: documenting pandas.MultIndex.argsort | open | 2025-07-29T23:49:59 | 2025-07-30T02:42:36 | null | https://github.com/pandas-dev/pandas/issues/61998 | true | null | null | loicdiridollou | 3 | ### Pandas version checks
- [x] I have checked that the issue still exists on the latest versions of the docs on `main` [here](https://pandas.pydata.org/docs/dev/)
### Location of the documentation
No docs yet for `pd.MultiIndex.argsort`.
Only for `pd.Index`: https://pandas.pydata.org/docs/dev/reference/api/pandas.... | [
"Docs",
"MultiIndex",
"Sorting"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. Agreed we should include this in the API docs. A PR to add this would be welcome.",
"Thanks for the feedback, I will address that.",
"take"
] |
3,275,089,979 | 61,997 | DOC: add button to edit on GitHub | closed | 2025-07-29T21:57:48 | 2025-07-29T23:59:41 | 2025-07-29T23:59:40 | https://github.com/pandas-dev/pandas/pull/61997 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61997 | https://github.com/pandas-dev/pandas/pull/61997 | DoNguyenHung | 3 | - [x] closes #39859
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hi [mroeschke](https://github.com/mroeschke), would you mind taking a look at this? My fix should have all the links direct-able and I added an extension so it resembles the issue description #39859. This is my first issue so please let me know if there's any convention I'm missing. Also, I said in the issue that ... |
3,274,527,166 | 61,996 | TST: Raise on `pytest.PytestWarning` | closed | 2025-07-29T18:08:43 | 2025-07-30T16:08:47 | 2025-07-30T16:08:44 | https://github.com/pandas-dev/pandas/pull/61996 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61996 | https://github.com/pandas-dev/pandas/pull/61996 | mroeschke | 0 | Just to make the pytest warning summary a bit shorter | [
"Testing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,274,486,584 | 61,995 | BUG/DEPR: logical operation with bool and string | closed | 2025-07-29T17:55:19 | 2025-08-15T07:12:34 | 2025-07-29T20:52:04 | https://github.com/pandas-dev/pandas/pull/61995 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61995 | https://github.com/pandas-dev/pandas/pull/61995 | jbrockmendel | 3 | - [x] closes #60234 (Replace xxxx with the GitHub issue number)
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/co... | [
"Numeric Operations",
"Strings"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @jbrockmendel ",
"Owee, I'm MrMeeseeks, Look at me.\n\nThere seem to be a conflict, please backport manually. Here are approximate instructions:\n\n1. Checkout backport branch and update it.\n\n```\ngit checkout 2.3.x\ngit pull\n```\n\n2. Cherry pick the first parent branch of the this PR on top of the ol... |
3,274,048,510 | 61,994 | PERF: `pandas.DataFrame.stack` with `future_stack=True` | closed | 2025-07-29T15:20:05 | 2025-07-29T16:43:23 | 2025-07-29T16:43:23 | https://github.com/pandas-dev/pandas/issues/61994 | true | null | null | thedimlebowski | 1 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this issue exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this issue exists on the main branch of pandas.
### Reproducible Examp... | [
"Performance",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks, the performance issue should be addressed once 3.0 comes out xref https://github.com/pandas-dev/pandas/pull/58817"
] |
3,273,860,886 | 61,993 | BUG: Inconsistent `datetime` dtype based on how the dataframe gets initialized | closed | 2025-07-29T14:24:21 | 2025-08-01T14:13:28 | 2025-07-31T15:04:51 | https://github.com/pandas-dev/pandas/issues/61993 | true | null | null | cosmic-heart | 5 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Datetime",
"Needs Info"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"These both correctly give microsecond dtype on main. Can you confirm",
"> These both correctly give microsecond dtype on main. Can you confirm\n\nYes, I’m getting microseconds for both initializations from the main branch. However, I noticed that the main branch has been tagged as 3.0.0-dev branch. Will this fi... |
3,272,856,813 | 61,992 | DOC: Point out difference in usage of "str" dtype in constructor and astype member | closed | 2025-07-29T09:24:33 | 2025-08-20T02:40:09 | 2025-08-20T02:40:09 | https://github.com/pandas-dev/pandas/issues/61992 | true | null | null | cbourjau | 3 | ### Pandas version checks
- [x] I have checked that the issue still exists on the latest versions of the docs on `main` [here](https://pandas.pydata.org/docs/dev/)
### Location of the documentation
This concerns the 3.0 migration guide: https://pandas.pydata.org/docs/user_guide/migration-3-strings.html)
### Docume... | [
"Docs",
"Strings"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. Agreed this difference should be highlighted. With `infer_string` being set to True, these now give `['a', nan, nan, nan]`. I'm thinking this should be added to the `astype(str)` section and not be called a bugfix.\n\ncc @jorisvandenbossche ",
"Good point @cbourjau! \n\n> In my case, the c... |
3,272,756,271 | 61,991 | BUG: Python Package fails to load for some users, but not others. | closed | 2025-07-29T08:57:34 | 2025-07-30T09:44:21 | 2025-07-30T08:19:21 | https://github.com/pandas-dev/pandas/issues/61991 | true | null | null | ialvata | 3 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Needs Info"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This is weird. The pandas import works but not pandas.DataFrame? What do you get from `dir(pandas)`?",
"Just noting that is very likely not a pandas issue. I would suggest.\n\n1. Recreate your virtual environment with the packages you need (sharing these steps would be helpful to help diagnose)\n2. Making sure... |
3,272,100,794 | 61,990 | BUG: Fix ExtensionArray binary op protocol | closed | 2025-07-29T05:07:31 | 2025-08-14T22:39:07 | 2025-08-14T22:39:01 | https://github.com/pandas-dev/pandas/pull/61990 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61990 | https://github.com/pandas-dev/pandas/pull/61990 | tisjayy | 11 | - [x] closes #61866
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- Up... | [
"Numeric Operations",
"ExtensionArray"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"pre-commit.ci autofix",
"\r\npre-commit.ci autofix\r\n\r\n",
"pre-commit.ci autofix\r\n\r\n",
"pre-commit.ci autofix\r\n\r\n",
"pre-commit.ci autofix\r\n\r\n",
"@jbrockmendel can you please review at your convenience? thanks!",
"I'm out of town for a few days, will look at this when i get back.",
"pr... |
3,272,056,352 | 61,989 | ENH: Add engine='polars' support in read_csv | closed | 2025-07-29T04:49:16 | 2025-07-29T05:10:40 | 2025-07-29T05:10:40 | https://github.com/pandas-dev/pandas/pull/61989 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61989 | https://github.com/pandas-dev/pandas/pull/61989 | abujabarmubarak | 0 | ### 🚀 Enhancement: Add `engine='polars'` Support in `read_csv`
#### 🔧 Summary of Changes
This PR introduces support for using **[[Polars](https://pola-rs.github.io/polars/py-polars/html/reference/api/pl.read_csv.html)](https://pola-rs.github.io/polars/py-polars/html/reference/api/pl.read_csv.html)** as a backen... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,271,847,472 | 61,988 | [ENH] Add `polars` Engine Support to `pd.read_csv()` | closed | 2025-07-29T03:14:05 | 2025-07-29T03:43:50 | 2025-07-29T03:43:50 | https://github.com/pandas-dev/pandas/pull/61988 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61988 | https://github.com/pandas-dev/pandas/pull/61988 | abujabarmubarak | 0 | ### 🚀 Pull Request: [ENH] Add `polars` Engine Support to `pd.read_csv()`
---
### ❓ Problem Statement
Pandas' `read_csv()` function supports multiple engines like "c", "python", and "pyarrow" for reading CSV files. However, there is **no built-in support for the high-performance [Polars](https://pola-rs.github... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,271,674,434 | 61,987 | Fix warning for extra fields in read_csv with on_bad_lines callable | open | 2025-07-29T01:42:35 | 2025-07-29T04:03:20 | null | https://github.com/pandas-dev/pandas/pull/61987 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61987 | https://github.com/pandas-dev/pandas/pull/61987 | tisjayy | 6 | - [ ] closes #61837 (Replace xxxx with the GitHub issue number)
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/c... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"\r\npre-commit.ci autofix\r\n\r\n",
"pre-commit.ci autofix\r\n\r\n",
"\r\npre-commit.ci autofix\r\n\r\n",
"pre-commit.ci autofix\r\n\r\n",
"\r\npre-commit.ci autofix\r\n\r\n",
"\r\npre-commit.ci autofix\r\n\r\n"
] |
3,271,600,791 | 61,986 | DOC: Improve docstrings in utility functions in pandas/core/common.py (lines 176–210) | closed | 2025-07-29T00:36:13 | 2025-07-29T01:33:58 | 2025-07-29T01:33:53 | https://github.com/pandas-dev/pandas/issues/61986 | true | null | null | eduardocamacho10 | 1 | ### Pandas version checks
- [x] I have checked that the issue still exists on the latest versions of the docs on `main` [here](https://pandas.pydata.org/docs/dev/)
### Location of the documentation
pandas/core/common.py (lines 176–210)
### Documentation problem
Several internal utility functionshave unclear or m... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. While I personally do not think the identified functions require improvement, I wouldn't be strongly opposed to filling out these docstings. However, for internal functions as short as these are, I do not believe we need to take up space on the issue tracker with this. Closing."
] |
3,271,508,973 | 61,985 | API: offsets.Day is always calendar-day | closed | 2025-07-28T23:15:46 | 2025-08-12T01:04:03 | 2025-08-11T17:29:46 | https://github.com/pandas-dev/pandas/pull/61985 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61985 | https://github.com/pandas-dev/pandas/pull/61985 | jbrockmendel | 7 | - [x] closes #44823
- [x] closes #55502
- [x] closes #41943
- [x] closes #51716
- [x] closes #35388
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.... | [
"Frequency"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"`/home/runner/work/pandas/pandas/doc/source/whatsnew/v3.0.0.rst:345: WARNING: Bullet list ends without a blank line; unexpected unindent. [docutils]`\r\n\r\nis stumping me. Who is our go-to person for debugging these?\r\n",
"Still seeing \r\n\r\n```\r\n/home/runner/work/pandas/pandas/doc/source/whatsnew/v3.0.0.... |
3,271,225,087 | 61,984 | MNT: simplify `cibuildwheel` configuration | closed | 2025-07-28T20:18:54 | 2025-07-29T05:45:51 | 2025-07-28T22:06:12 | https://github.com/pandas-dev/pandas/pull/61984 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61984 | https://github.com/pandas-dev/pandas/pull/61984 | neutrinoceros | 1 | follow up to https://github.com/pandas-dev/pandas/pull/61981#discussion_r2237723118
This reduce the maintenance burden for `cibuildwheel` config parameters:
- cibw takes `project.requires-python` into account for target selection, so there is no need for explicitly excluding unsupported versions
- using `test-extras... | [
"Build"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @neutrinoceros "
] |
3,270,881,574 | 61,983 | ENH: Add Polars engine to read_csv (#61813) | closed | 2025-07-28T18:04:56 | 2025-07-28T18:30:06 | 2025-07-28T18:30:06 | https://github.com/pandas-dev/pandas/pull/61983 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61983 | https://github.com/pandas-dev/pandas/pull/61983 | abujabarmubarak | 0 | ### What does this PR do?
This PR adds support for `engine="polars"` in the `pandas.read_csv()` function. It enables users to leverage the performance of the [Polars](https://www.pola.rs/) DataFrame engine when reading CSV files in pandas.
---
### Why is this needed?
This enhancement addresses issue #61813.... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,270,151,696 | 61,982 | BUG: Fix boolean column indexing for DataFrame (#61980) | closed | 2025-07-28T14:29:12 | 2025-07-28T19:24:11 | 2025-07-28T19:24:11 | https://github.com/pandas-dev/pandas/pull/61982 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61982 | https://github.com/pandas-dev/pandas/pull/61982 | Aniketsy | 0 | (#61980)
This Pr fixes:
Boolean column names in DataFrame indexing are now correctly treated as column labels, not boolean masks, unless the key is a valid mask for row selection.
Please let me know if my approach or fix needs any improvements . I’m open to feedback and happy to make changes based on suggestions... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,269,821,531 | 61,981 | Bump pypa/cibuildwheel from 2.23.3 to 3.1.1 | closed | 2025-07-28T12:59:24 | 2025-07-28T23:44:29 | 2025-07-28T19:58:11 | https://github.com/pandas-dev/pandas/pull/61981 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61981 | https://github.com/pandas-dev/pandas/pull/61981 | dependabot[bot] | 3 | Bumps [pypa/cibuildwheel](https://github.com/pypa/cibuildwheel) from 2.23.3 to 3.1.1.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/pypa/cibuildwheel/releases">pypa/cibuildwheel's releases</a>.</em></p>
<blockquote>
<h2>v3.1.1</h2>
<ul>
<li>🐛 Fix a bug showing an incorrect ... | [
"Build",
"CI",
"Dependencies"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@mroeschke Could this change be backported to the `2.3.x` branch? cibuildwheel `3.1.1` will be a requirement for cp314 wheels.",
"Just noting that 2.3.x will likely not add additional Python version support as 2.3.x releases are only meant to address regressions and fixes for major pandas 3.0 features.\r\n\r\npa... |
3,269,122,506 | 61,980 | BUG: Boolean Column Indexing Issue in Pandas | open | 2025-07-28T09:55:14 | 2025-08-18T01:16:55 | null | https://github.com/pandas-dev/pandas/issues/61980 | true | null | null | tanjt107 | 4 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Indexing",
"Needs Discussion"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. Unfortunately because there are multiple acceptable inputs similar to `[True]` (Boolean mask or list of columns), pandas has to make some choice as to what takes priority. It isn't clear to me that we should do one or the other, and because of that I'd be hesitant to change behavior here.\n\... |
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